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Hadoop Python Jobs in Portland, OR (NOW HIRING)

Collabera

Cloud Software Engineer (W2 Only)

Hillsboro, OR

$65.25 - $85/hr

Chef/Ruby Python * MS SQL * At least one big data implementation (e.g. Hadoop, MongoDB, ElasticSearch, etc.) * Expertise in both Windows and Linux platforms * Testing technologies experience Selenium

Futran Tech Solutions Pvt. Ltd.

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

... Python and Spark that meet all functional & non-functional requirements • Develop efficient ... Minimum Qualifications • 5+ years working as data engineer / database developer (Hadoop, cloud ...

Smarsh

Linux DevOps Engineer

Portland, OR · On-site

... Python preferred) Experience working with relational databases (MS SQL and MySQL preferred) Strong troubleshooting skills Experience using Agile/Scrum methodologies Experience with Solr or Hadoop a ...

Smarsh

DevOps Team Lead

Portland, OR · On-site

$56 - $76.50/hr

... Python preferred) • Experience working with relational databases (MS SQL and MySQL preferred) • ... Openstack, AWS, Hadoop a bonus • Experience using Agile/Scrum methodologies Additional ...

RevSpring

Software Engineer - ETL, Java

Portland, OR · On-site

... with Python (required) * Knowledge and understanding of complex data pipelines utilizing ETL ... Google Dataflow (Apache Beam SDK) (equivalent Hadoop technologies) * BigQuery (equivalent of any ...

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Hadoop Python information

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$10

$63

$77

How much do hadoop python jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for hadoop python in Portland, OR is $63.52, according to ZipRecruiter salary data. Most workers in this role earn between $60.43 and $69.33 per hour, depending on experience, location, and employer.

Is Hadoop admin a good career?

Hadoop administration is a viable career path for those interested in managing big data infrastructure, requiring skills in Hadoop ecosystem tools, Linux, and scripting. It offers opportunities in data management, analytics, and cloud environments, with demand driven by data-driven business needs. Certifications like Cloudera or Hortonworks can enhance job prospects.

Are Python still in demand in 2026?

Python remains highly in demand for roles like Hadoop Python developers, as it is widely used for data processing, scripting, and automation in big data environments. Its versatility and strong community support ensure continued relevance, especially when combined with skills in Hadoop, Spark, and cloud platforms.

Does Hadoop work with Python?

Hadoop can work with Python through tools like Hadoop Streaming, which allows Python scripts to process data within Hadoop jobs. Additionally, frameworks such as PySpark enable Python developers to work with Apache Spark on Hadoop clusters for big data processing. Knowledge of these tools is beneficial for Hadoop Python roles.

What are the key skills and qualifications needed to thrive as a Hadoop Python Developer, and why are they important?

To thrive as a Hadoop Python Developer, you need a strong understanding of distributed computing, Hadoop ecosystem components (like HDFS, MapReduce, Hive, or Pig), and advanced Python programming skills, often supported by a degree in computer science or related field. Familiarity with tools such as Apache Spark, Sqoop, and workflow schedulers (like Oozie or Airflow), along with experience in handling big data platforms, is typically required. Problem-solving abilities, attention to detail, and effective communication help developers collaborate with teams and translate business requirements into scalable data solutions. These skills and qualifications are essential for efficiently processing and analyzing large datasets, ensuring data reliability, and driving business insights.

What is the highest paying job in Python?

The highest paying Python-related jobs include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, often requiring advanced skills in algorithms, statistics, and frameworks like TensorFlow or scikit-learn. These positions typically offer salaries exceeding $120,000 annually, especially with experience and relevant certifications.

What is the difference between Hadoop Python vs Hadoop Java Developer?

AspectHadoop PythonHadoop Java Developer
Required CredentialsPython programming skills, Hadoop certificationsJava programming skills, Hadoop certifications
Work EnvironmentData analysis, scripting, data pipeline developmentCore development, system integration, big data application coding
Industry UsageData science, analytics, machine learning projectsData infrastructure, platform development, system optimization

Hadoop Python and Hadoop Java Developer roles both involve working with Hadoop ecosystems, but Python focuses more on data analysis and scripting, while Java is geared towards core development and system integration. The choice depends on your programming expertise and career goals within big data environments.

What is a Hadoop Python developer?

A Hadoop Python developer is a software professional who specializes in using Python programming language to develop, implement, and maintain applications that process and analyze large datasets within the Hadoop ecosystem. They leverage Python libraries like PySpark to write scalable data processing scripts, interact with Hadoop components such as HDFS, and optimize big data workflows. These developers play a critical role in building data pipelines, performing data transformation, and supporting analytics projects in organizations that handle vast amounts of data.

How do Hadoop Python developers typically collaborate with data engineers and analysts on large-scale data projects?

Hadoop Python developers frequently work alongside data engineers and analysts to design, implement, and optimize data pipelines for handling vast datasets. They are responsible for writing Python scripts that interface with Hadoop components, ensuring data is processed efficiently and meets project requirements. Regular communication with data engineers helps align on infrastructure and architectural decisions, while close collaboration with analysts ensures data outputs are accurate and actionable. Agile methodologies and daily stand-ups are common, fostering teamwork and quick problem-solving.
What are popular job titles related to Hadoop Python jobs in Portland, OR? For Hadoop Python jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Portland, OR look for? The top searched job categories for Hadoop Python jobs in Portland, OR are:
Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in Portland, OR as of July 2026, with employment types broken down into 89% Full Time, 1% Part Time, and 10% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $132,113 per year, or $63.5 per hour.
Cloud Software Engineer (W2 Only)

Cloud Software Engineer (W2 Only)

Collabera

Hillsboro, OR

$65.25 - $85/hr

Contractor

Posted 17 days ago

Job description

Company Description

Collabera Inc (Staffing Firm). 

We are based out of Morristown, NJ and we have been providing contingent labor to our clients for last 25 years. In 2015 we placed more than 6,000 contractors across select 100+ clients that we service. End client for this project is a large legal organization with operations in more than 100 countries and has more than 50,000 employees around the world. For eight consecutive years, Fortune has named this company as World's 'Most Admired Companies to work for'.

Job Description

Required skills:

  • Deployment technologies experience
  • Chef/Ruby Python
  • MS SQL
  • At least one big data implementation (e.g. Hadoop, MongoDB, ElasticSearch, etc.)
  • Expertise in both Windows and Linux platforms
  • Testing technologies experience Selenium
  • At least one web, load test tool (e.g. Jmeter, WebRunner, LoadRunner etc.)

Nice to have:

  • AWS
Additional Information

To know more about this position, please contact:

Ashish Mishra

Technical Recruiter

503-506-5132

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